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dc.date.accessioned 2021-09-21T22:26:54Z
dc.date.available 2021-09-21T22:26:54Z
dc.date.issued 2011
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/125318
dc.description.abstract This paper presents an experimental comparison of the Kalman and complementary filter for attitude estimation of a microwave quadrotor, fusing measurements from inertial MEMs devices. Simulations on Kalman and complementary filters are performed to study how the parameters affect the estimations of each one. Finally, the experimental results are presented using real data, which are used for both noise parameter modelling and comparing the performance of the filters given different operating conditions of the experimental platform. en
dc.format.extent 205-215 es
dc.language en es
dc.subject Kalman filter es
dc.subject complementary filter es
dc.subject attitude estimation es
dc.title Experimental comparison of kalman and complementary filter for attitude estimation en
dc.type Objeto de conferencia es
sedici.identifier.issn 1850-2806 es
sedici.creator.person Perez Paina, G. es
sedici.creator.person Gaydou, D. es
sedici.creator.person Redolfi, Javier A. es
sedici.creator.person Paz, C. es
sedici.creator.person Canali, L. es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Sociedad Argentina de Informática e Investigación Operativa es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2011-08
sedici.relation.event XII Argentine Symposium on Technology (AST 2011) (XL JAIIO, Córdoba, 29 de agosto al 2 de septiembre de 2011) es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)